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20182020
most citedUnderstanding Urban Dynamics via Context-aware Tensor Factorization with Neighboring Regularization

75 citations · 80 across the 5 of their papers we have counts for

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cs.LG2020

Using Text to Teach Image Retrieval

Haoyu Dong, Ze Wang, Qiang Qiu +1

Image retrieval relies heavily on the quality of the data modeling and the distance measurement in the feature space. Building on the concept of image manifold, we first propose to…

cs.LG2019

A Dictionary Approach to Domain-Invariant Learning in Deep Networks

Ze Wang, Xiuyuan Cheng, Guillermo Sapiro +1

In this paper, we consider domain-invariant deep learning by explicitly modeling domain shifts with only a small amount of domain-specific parameters in a Convolutional Neural Netw…

cs.LG201975 cited

Understanding Urban Dynamics via Context-aware Tensor Factorization with Neighboring Regularization

Jingyuan Wang, Junjie Wu, Ze Wang +2

Recent years have witnessed the world-wide emergence of mega-metropolises with incredibly huge populations. Understanding residents mobility patterns, or urban dynamics, thus becom…

cs.LG2018

Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis

Jingyuan Wang, Ze Wang, Jianfeng Li +1

Recent years have witnessed the unprecedented rising of time series from almost all kindes of academic and industrial fields. Various types of deep neural network models have been…

cs.LG2018

The Structure Transfer Machine Theory and Applications

Baochang Zhang, Lian Zhuo, Ze Wang +2

Representation learning is a fundamental but challenging problem, especially when the distribution of data is unknown. We propose a new representation learning method, termed Struc…